head to head · open source

proxy_pool vs rod

proxy_pool has 23,707 GitHub stars, 5,418 forks, 298 open issues and last shipped 3 months ago. rod has 7,104 stars, 485 forks, 212 open issues and last shipped 1 months ago. proxy_pool leads on adoption by 234% (23,707 vs 7,104 stars). proxy_pool is written in Python under MIT; rod is written in Go under MIT. proxy_pool has attracted 23% as many forks as stars, rod 7%. rod was the more recently maintained of the two, and both are self-hostable with no licence fee.

Two open source projects, one decision. Both are free and self-hostable — the differences are community size, license terms, language stack and release pace.

proxy_pool ★ 24K rod ★ 7.1K category Data & Analytics

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Side by side

proxy_pool rod
GitHub stars ★ 24K ★ 7.1K
License MIT MIT
Written in Python Go
Last push 2026-06-15 2026-08-11
Forks ⑂ 5.4K ⑂ 485
Self-hosting Yes Yes
Data ownership Your server Your server

pick proxy_pool if

  • You weight community size — 24K stars and counting
  • You want the MIT license terms
  • Your stack matches Python
  • You value the larger contributor base for long-term maintenance

full proxy_pool profile →

pick rod if

  • You want the rod feature set and don't need the biggest community
  • You prefer the MIT license terms
  • Your stack matches Go
  • You evaluated both and rod fits your workflow better

full rod profile →

About proxy_pool

proxy pool is a self hosted Python proxy IP pool for web spiders that continuously collects, checks, and serves rotating HTTP proxies from public free proxy sources through a Redis backed pool.

read the full proxy_pool overview →

About rod

Rod is a high level driver for the Chrome DevTools Protocol, written in Go and released under the MIT license. It lives in the Go ecosystem and is published as the module github.com/go rod/rod , with documentation hosted at go rod.github.io and an API reference on pkg.go.dev. The project is designed for web automation and scraping, and it deliberately spans two levels of use: senior developers can work with the low level packages and functions to customize the driver or build their own version of it, while the high level functions serve as examples that produce a default, ready to use build.

read the full rod overview →

More in Data & Analytics

Mermaid ★ 90K Crawl4AI ★ 84K Scrapling ★ 82K Apache Superset ★ 75K echarts ★ 67K scrapy ★ 64K

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Compare either of these against the rest of the Data Extraction & Web Scraping field.

proxy_pool vs Crawl4AI proxy_pool vs Scrapling proxy_pool vs scrapy proxy_pool vs EasySpider proxy_pool vs changedetection.io proxy_pool vs lux proxy_pool vs CloakBrowser proxy_pool vs Scrapegraph-ai proxy_pool vs crawlee proxy_pool vs colly proxy_pool vs stagehand proxy_pool vs Douyin_TikTok_Download_API

Frequently asked questions

Is proxy_pool or rod more popular?

proxy_pool has 23,707 GitHub stars and rod has 7,104. proxy_pool has the larger community by that measure.

Are proxy_pool and rod free?

Both are open source. proxy_pool is licensed under MIT and rod under MIT. Neither carries a licence fee.

What is the difference between proxy_pool and rod?

proxy_pool is written in Python and rod in Go. The practical differences are community size, licence terms, language stack and release cadence — all compared in the table above.

Which should I choose, proxy_pool or rod?

Choose proxy_pool if you want the larger community (23,707 stars) or its MIT licence terms. Choose rod if its feature set, stack or MIT licence fits better. Both are self-hostable.